Dataset

library(tidyverse)
## -- Attaching packages --------------------------------------- tidyverse 1.3.1 --
## v ggplot2 3.3.5     v purrr   0.3.4
## v tibble  3.1.4     v dplyr   1.0.7
## v tidyr   1.1.3     v stringr 1.4.0
## v readr   2.0.1     v forcats 0.5.1
## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()
library(p8105.datasets)
library(plotly)
## 
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
## 
##     last_plot
## The following object is masked from 'package:stats':
## 
##     filter
## The following object is masked from 'package:graphics':
## 
##     layout

Relevant Plots

This plot is a representation of the total number of ordered items per aisle.

data(instacart)
order_aisle_insta = 
  instacart %>%
  group_by(aisle) %>%
  summarize(total = n()) %>%
  arrange(desc(total)) %>%
  filter(total > 10000) %>%
  mutate(aisle = fct_reorder(aisle, total)) %>%
  plot_ly(x = ~aisle, y = ~total, colors = ~aisle, type = "bar", alpha = 0.5)
  ggplotly(order_aisle_insta)

This plot represents a distribution of the hour of day for orders of Pink Lady Apples and Coffee Ice Cream respectively.

order_hour_insta = 
  instacart %>%
  filter(product_name %in% c("Pink Lady Apples", "Coffee Ice Cream")) %>%
  group_by(product_name, order_dow) %>%
  plot_ly(y = ~order_hour_of_day, color = ~product_name, type = "box", colors = "viridis")
ggplotly(order_hour_insta)

This histogram demonstrates the relationship between order hour and the day for Pink Lady Apples and Coffee Ice Cream respectively.

order_day_insta = 
  instacart %>%
  filter(product_name %in% c("Pink Lady Apples", "Coffee Ice Cream")) %>%
  group_by(product_name, order_dow) %>%
  plot_ly(x = ~order_hour_of_day, y = ~order_dow, color = ~product_name, type = "histogram")
ggplotly(order_day_insta)
## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels

## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels